SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 451475 of 7282 papers

TitleStatusHype
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series ForecastingCode1
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose EstimaitonCode1
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score MatchingCode1
Diffusion Action SegmentationCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Diffusion Model as Representation LearnerCode1
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic ModelCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
1st Place Solution for the 5th LSVOS Challenge: Video Instance SegmentationCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion ModelsCode1
3D Detection and Characterisation of ALMA Sources through Deep LearningCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified